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Master RAG with LangChain & ChromaDB: Python Tutorial for AI Beginners

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🔍 Learn Retrieval-Augmented Generation (RAG) in Python!
In this hands-on tutorial, I demonstrate how to implement a RAG pipeline using LangChain and ChromaDB, two powerful tools for AI-driven knowledge retrieval and context-aware generation.
🌟 What You'll Learn:
Setting up LangChain for seamless integration with language models
Storing and retrieving data using ChromaDB (a vector database)
Embedding documents for efficient search and retrieval
Building a functional RAG pipeline from scratch
🛠️ Technologies Used:
Python
LangChain
ChromaDB
Whether you're new to RAG or an AI enthusiast looking to enhance your understanding, this video simplifies the process step by step.
Don’t forget to Like, Comment, and Subscribe for more tutorials on AI, ML, and Data Engineering!
In this hands-on tutorial, I demonstrate how to implement a RAG pipeline using LangChain and ChromaDB, two powerful tools for AI-driven knowledge retrieval and context-aware generation.
🌟 What You'll Learn:
Setting up LangChain for seamless integration with language models
Storing and retrieving data using ChromaDB (a vector database)
Embedding documents for efficient search and retrieval
Building a functional RAG pipeline from scratch
🛠️ Technologies Used:
Python
LangChain
ChromaDB
Whether you're new to RAG or an AI enthusiast looking to enhance your understanding, this video simplifies the process step by step.
Don’t forget to Like, Comment, and Subscribe for more tutorials on AI, ML, and Data Engineering!
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